AI-Assisted Software Engineer - Aldermaston

AWE plc; Midgham; On-site; GBP 38,000 - 68,000; Full time

Benefits offered by this job

9-day working fortnight

Pension scheme (9–13%)

Maternity/Paternity leave

Professional development funding

Employee assistance program

Life Assurance (4x salary)

Discounts

Special leave for volunteering

Job summary

AWE plc is seeking an AI-Assisted Software Engineer to join its team in Aldermaston. You will help build secure, high‑quality software rapidly by embedding AI into development stages, working with experienced engineers to learn quickly and deliver value.

The role emphasizes ongoing upskilling, collaboration across platform, data, and adoption teams, and adherence to cybersecurity and governance standards. Onsite work is common.

Qualifications

• Bachelor's degree (or equivalent) in Computer Science, Software Engineering, AI, or related STEM.
• Hands-on software development experience from placements, projects, or early roles.
• Exposure to AI or automation tools in coding and basic data/ML concepts.
• Familiarity with AI-assisted development tools.
• Formal training or certification in Agile software development or related methodologies.
• Experience with cloud platforms and DevOps (Docker, Kubernetes) is a plus.

Responsibilities

• Contribute to on-schedule delivery of software features using AI-driven development tools to improve speed and efficiency.
• Ensure code and configurations adhere to standards and pass testing.
• Collaborate within multi-disciplinary teams and support senior engineers by taking ownership of tasks.

Skills

Hands-on software development

AI-assisted tooling

Cloud platforms

Agile methodologies

Education

Bachelor's degree in CS/SE/AI or related STEM

Tools

Docker

Kubernetes

Job description

About the role

Accountable for maintaining robust quality controls - including thorough testing and documentation - to deliver reliable, secure, and compliant solutions. Bring genuine energy, focus, and passion for staying at the cutting edge, proactively tracking emerging AI-assisted development tools and practices and committing to continuous upskilling. Champion these innovations within the team, feeding them back to incrementally improve AWE's software engineering methods over time. Work effectively within multi-disciplinary teams, supporting the AI Platform Specialist and more senior engineers by taking ownership of assigned tasks and proactively resolving issues. Ensure open communication and coordination with colleagues (e.g. platform, data, and adoption teams) so that software components integrate seamlessly into the broader enterprise environment and AI Factory's pipelines. Uphold a high-performance culture by demonstrating a bias for action and delivering tangible outcomes. The

Software Engineer, you'll help AWE build secure, highquality software faster by embedding AI into every stage of development. This earlycareer role turns ideas into working applications with speed and precision, using modern AI tools-from coding copilots to automated testing-to boost productivity without compromising safety.

Working alongside experienced engineers, you'll learn rapidly, collaborate widely, and play a key part in AWE's AI Capability Development and AI Factory missions to deliver software at pace and scale.

Key Accountabilities

• Contribute to the on-schedule delivery of software features and applications that meet specified requirements, using AI-driven development tools to improve speed and efficiency.
• Success is measured by reduced development cycle times and high-quality outputs that pass testing and user acceptance.
• Ensure code and configurations adhere to AWE's coding standards, cybersecurity policies, and AI governance requirements.

The AI-Assisted Software Engineer is, AI-Assisted Software Engineer is accountable for using AI tools to boost productivity, enabling faster iteration on business ideas and maximizing the value delivered from the AI program.

Who are we looking for?

• Bachelor's degree (or equivalent training/experience) in Computer Science, Software Engineering, AI, or a related STEM discipline.
• Hands-on experience in software development through work placements, academic projects, or initial employment.
• Exposure to AI or automation tools in coding (for example, having used code generators, scripting with AI APIs, or contributed to relevant projects) and a basic understanding of data and machine learning concepts.
• Familiarity with AI-assisted development tools.
• Further study or certification in relevant fields (e.g. a Master's degree, or professional certifications in software development, cloud computing, or AI/ML foundations) demonstrating commitment to continuous learning.
• Familiarity with cloud development platforms and modern DevOps practices, such as containerization (Docker, Kubernetes) or CI/CD tools, is a plus.
• Formal training or certification in Agile software development or related methodologies.

Benefits

• 9-day working fortnight - meaning you get every other Friday off work, in addition to 270 hours of annual leave.
• Market leading contributory pension scheme (we will pay between 9% and 13% of your pensionable pay depending on your contributions).
• Family friendly policies: Maternity Leave - 39 Weeks Full Pay and Paternity Leave - 4 Weeks Full Pay.
• Opportunities for Professional Career Development including funding for annual membership of a relevant professional body.
• Employee Assistance Programme and Occupational Health Services.
• Life Assurance (4 x annual salary).
• Discounts - access to savings on a wide range of everyday spending.
• Special Leave Policy including paid time off for volunteering, public service (including reserve forces) and caring.

Job Details

• Job Type: Full-Time
• Salary: 37,540 - 68,000 p.a (depending on your suitability, qualifications, and level of experience)
• Location: Aldermaston, Berkshire, RG7 4PR
• Closing date: 8th October 2026
• Working pattern: AWE operates a 9-day working fortnight, with every other Friday as a non-working day. For this role, employees are required to work mostly onsite. We support flexible working arrangements where possible, including part-time and varied working hours, while maintaining an onsite presence. Please let us know if you would like us to consider an alternative working pattern as part of your application.

Ready to play your part? At AWE, it's not just a job, it's far more than that. Our shared purpose is to help keep the nation safe. Could this role be the opportunity for you to play your part? As an AIAssisted